Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

74 results

Time (local)	Label
2013-05-12 11:06:53	ga_ls8c_ard_3-0-0_107083_2013-05-12_final
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2013-09-11 09:59:34	ga_ls8c_ard_3-0-0_097069_2013-09-11_final
2013-09-22 09:40:09	ga_ls8c_ard_3-0-0_094067_2013-09-22_final
2013-12-02 09:46:02	ga_ls8c_ard_3-0-0_095067_2013-12-02_final
2014-03-20 10:10:45	ga_ls8c_ard_3-0-0_099070_2014-03-20_final
2014-05-23 10:09:01	ga_ls8c_ard_3-0-0_099068_2014-05-23_final
2014-08-02 10:19:17	ga_ls8c_ard_3-0-0_100077_2014-08-02_final
2014-08-15 09:44:28	ga_ls8c_ard_3-0-0_095067_2014-08-15_final
2014-12-10 10:08:14	ga_ls8c_ard_3-0-0_098080_2014-12-10_final
2015-01-23 10:33:12	ga_ls8c_ard_3-0-0_102081_2015-01-23_final
2015-02-26 11:57:11	ga_ls8c_ard_3-0-0_116075_2015-02-26_final
2015-04-07 11:10:31	ga_ls8c_ard_3-0-0_108083_2015-04-07_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-05-12 09:55:49	ga_ls8c_ard_3-0-0_097067_2015-05-12_final
2015-07-08 11:28:57	ga_ls8c_ard_3-0-0_112067_2015-07-08_final
2015-07-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2015-07-10_final
2015-07-19 09:31:37	ga_ls8c_ard_3-0-0_093067_2015-07-19_final
2016-03-22 09:38:00	ga_ls8c_ard_3-0-0_094067_2016-03-22_final
2016-05-25 09:37:51	ga_ls8c_ard_3-0-0_094067_2016-05-25_final
2016-06-04 10:19:22	ga_ls8c_ard_3-0-0_100078_2016-06-04_final
2016-07-19 11:27:39	ga_ls8c_ard_3-0-0_111078_2016-07-19_final
2016-08-10 09:15:44	ga_ls8c_ard_3-0-0_089088_2016-08-09_final
2016-09-05 09:52:36	ga_ls8c_ard_3-0-0_095087_2016-09-05_final
2016-10-21 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-10-21_final
2017-01-12 10:31:50	ga_ls8c_ard_3-0-0_102077_2017-01-12_final
2017-01-22 09:29:59	ga_ls8c_ard_3-0-0_092077_2017-01-21_final
2017-03-05 10:03:34	ga_ls8c_ard_3-0-0_098069_2017-03-05_final
2017-05-09 09:15:28	ga_ls8c_ard_3-0-0_089089_2017-05-08_final
2017-07-22 11:24:22	ga_ls8c_ard_3-0-0_111070_2017-07-22_final
2017-08-14 11:34:42	ga_ls8c_ard_3-0-0_112080_2017-08-14_final
2017-10-12 09:35:31	ga_ls8c_ard_3-0-0_093075_2017-10-12_final
2017-10-29 11:58:53	ga_ls8c_ard_3-0-0_116078_2017-10-29_final
2017-11-09 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-11-09_final
2018-01-25 09:29:01	ga_ls8c_ard_3-0-0_092075_2018-01-24_final
2018-01-25 09:29:25	ga_ls8c_ard_3-0-0_092076_2018-01-24_final
2018-02-05 09:11:11	ga_ls8c_ard_3-0-0_089077_2018-02-04_final
2018-09-02 09:51:21	ga_ls8c_ard_3-0-0_096070_2018-09-02_final
2019-05-14 10:02:54	ga_ls8c_ard_3-0-0_098068_2019-05-14_final
2019-05-27 11:17:24	ga_ls8c_ard_3-0-0_109084_2019-05-27_final
2019-07-28 09:44:26	ga_ls8c_ard_3-1-0_095067_2019-07-28_final
2019-08-28 09:07:19	ga_ls8c_ard_3-1-0_088082_2019-08-27_final
2019-09-07 09:38:27	ga_ls8c_ard_3-1-0_094067_2019-09-07_final
2019-10-28 10:11:31	ga_ls8c_ard_3-1-0_099072_2019-10-28_final
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2019-12-19 09:45:53	ga_ls8c_ard_3-2-0_095070_2019-12-19_final
2020-02-05 09:44:28	ga_ls8c_ard_3-1-0_095067_2020-02-05_final
2020-02-07 09:37:17	ga_ls8c_ard_3-1-0_093080_2020-02-07_final
2020-02-27 10:52:10	ga_ls8c_ard_3-1-0_105082_2020-02-27_final
2020-03-09 10:29:34	ga_ls8c_ard_3-1-0_102072_2020-03-09_final
2020-03-21 09:20:54	ga_ls8c_ard_3-1-0_090086_2020-03-20_final
2020-06-22 10:22:24	ga_ls8c_ard_3-1-0_101070_2020-06-22_final
2020-06-27 09:06:53	ga_ls8c_ard_3-1-0_088082_2020-06-26_final
2020-07-01 10:19:05	ga_ls8c_ard_3-1-0_100077_2020-07-01_final
2021-02-14 09:52:40	ga_ls8c_ard_3-2-0_096072_2021-02-14_final
2021-02-19 10:15:34	ga_ls8c_ard_3-2-0_099083_2021-02-19_final
2021-03-10 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-03-09_final
2021-06-06 09:50:22	ga_ls8c_ard_3-2-0_096067_2021-06-06_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-11-09 11:58:11	ga_ls8c_ard_3-2-0_116076_2021-11-09_final
2021-11-13 11:30:14	ga_ls8c_ard_3-2-0_112068_2021-11-13_final
2022-01-16 09:52:48	ga_ls8c_ard_3-2-1_096072_2022-01-16_final
2022-01-25 09:46:34	ga_ls8c_ard_3-2-1_095072_2022-01-25_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-03-28 09:56:32	ga_ls8c_ard_3-2-1_097067_2022-03-28_final
2022-05-31 09:58:20	ga_ls8c_ard_3-2-1_097071_2022-05-31_final
2022-07-31 09:32:16	ga_ls8c_ard_3-2-1_092082_2022-07-31_final
2023-03-29 10:13:44	ga_ls8c_ard_3-2-1_099079_2023-03-29_final
2023-05-07 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-05-07_final
2023-12-27 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-12-27_final
2024-03-12 11:20:57	ga_ls8c_ard_3-2-1_110077_2024-03-12_final
2024-03-16 10:52:36	ga_ls8c_ard_3-2-1_106068_2024-03-16_final
2024-04-07 10:18:54	ga_ls8c_ard_3-2-1_100077_2024-04-07_nrt

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years